Codebook for hr.env.data.dta

Question Wording is in the Supplementary Appendix

subject_id: subject's random id

experience: years of experience    
  
econ: dummy for economics background  
           
law:  dummy for law degree 
           
age:  age in years

female: dummy for female    
      
ideology: left right ideology  
      
ngo_budget: ngo budget as ordered category
	Less than $1,000,000 (4)
	$1-5 million (5)
	$5-10 million (6)
	$10-50 million (7)
	$50-100 million (8)
	More than $100 million (9) 

income: income as ordered category
	$0-$24,000 (1) 
	$25,000-39,000 (2) 
	$40,000-54,000 (3)
	$55,000 - $69,000 (4)
	$70,000 - $84,000 (5)
	$85,000 - $99,000 (6)
	$100,000 - $149,000 (7)
	$150,000 - $199,000  (8)
	$200,000 or more (9)
	Don't know (NA)
           
international: dummy for internationally based NGO 

_nb: variables ending in nb are responses to removing non-binding law -50 to +50

_b : variables ending in _b are responses to removing binding law -50 to +50 
  
d_ : variables beginning with d_ are the differences in responses to binding vs non-binding law (_b - _nb)

policy_area: is the subject from an environmental or human rights ngo (environment, human.rights)

ngo_budget_100m: does the subject's NGO have an annual budget of more than 100 million USD